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About The Company
UST is a leading organization in the technology and data-driven solutions sector, committed to driving innovation and excellence in data management and analytics. With a global presence and a focus on leveraging cutting-edge cloud technologies, the company empowers businesses across various industries to unlock insights, optimize operations, and achieve strategic objectives. The organization fosters a collaborative and inclusive culture that values continuous learning, technical excellence, and impactful contributions to the digital transformation landscape.
About The Role
As a Principal Data Engineer, you will play a pivotal role in shaping and advancing our cloud-scale data platform. Combining deep technical expertise with leadership skills, you will oversee the design, development, and ongoing evolution of scalable data solutions that support complex data processing, analytics, and AI initiatives. You will act as a technical leader, guiding teams through architecture design, best practices, and implementation strategies, while remaining actively involved in coding and engineering tasks. Your influence will help establish engineering standards, mentor engineering teams, and collaborate with cross-functional stakeholders to deliver robust, efficient, and innovative data capabilities.
Qualifications
- Extensive experience as a Lead Data Engineer, Principal Data Engineer, or Technical Lead in large-scale, data-driven organizations
- Proficiency in Python, PySpark, and Apache Airflow for building data pipelines
- Deep expertise in designing and implementing distributed data processing systems on AWS
- Strong knowledge of AWS data services including Glue, EMR, Lambda, DynamoDB, S3, EventBridge, and Step Functions
- Proven experience in building Data Lakehouse architectures, Data Products, and ELT/ETL frameworks supporting analytics, ML, and AI workloads
- Expertise in streaming data architectures, event-driven systems, and real-time data processing patterns
- Solid understanding of data modeling, data quality, metadata management, governance, and platform best practices
- Experience implementing CI/CD pipelines, automated testing, infrastructure-as-code, and monitoring solutions
- Strong stakeholder management and communication skills, capable of engaging with technical and executive audiences
- Practical experience supporting Machine Learning and Generative AI platforms through scalable data engineering solutions
- Experience working within regulated industries, such as Financial Services, is preferred
- Demonstrated leadership in mentoring teams, fostering innovation, and influencing technical direction
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Responsibilities
- Lead the design, development, and continuous improvement of cloud-scale data platforms and data products across batch and streaming workloads
- Provide technical guidance on solution architecture, engineering standards, and implementation approaches for complex data initiatives
- Design, build, and optimize distributed data processing pipelines utilizing PySpark, Python, Airflow, and AWS services
- Ensure engineering excellence through code reviews, design reviews, technical coaching, and adoption of best practices
- Collaborate closely with Product, Architecture, Cyber Security, Data Science, Analytics, and Governance teams to deliver scalable and reusable data solutions
- Promote modern data engineering patterns such as Data Lakehouse architectures, ELT frameworks, and event-driven processing
- Influence technology choices, platform roadmaps, and standards in collaboration with Architecture and Enterprise Technology teams
- Improve platform reliability, scalability, observability, and operational efficiency through automation and monitoring
- Drive the adoption of CI/CD, Infrastructure-as-Code, testing strategies, and engineering quality standards within the data engineering function
- Mentor and develop engineering teams, fostering a culture of technical excellence, continuous learning, and innovation
- Support the integration of AI and ML platform capabilities by building trusted, scalable, and governed data foundations
- Contribute hands-on expertise to deliver critical solutions, overcoming technical challenges and accelerating project delivery
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Benefits
- Competitive salary packages and performance-based incentives
- Comprehensive health insurance coverage
- Opportunities for professional development and continuous learning
- Flexible work arrangements and a supportive work environment
- Access to cutting-edge technologies and innovative projects
- Inclusive and collaborative company culture that values diversity and inclusion
Equal Opportunity
UST is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law.
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